KR20170091931A - Method of controling a flatness of a epitaxial wafer - Google Patents
Method of controling a flatness of a epitaxial wafer Download PDFInfo
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- 239000000758 substrate Substances 0.000 claims description 61
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- 230000000875 corresponding effect Effects 0.000 claims description 7
- 230000006735 deficit Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 description 31
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- 238000004364 calculation method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000004886 process control Methods 0.000 description 3
- 229910052710 silicon Inorganic materials 0.000 description 3
- 239000010703 silicon Substances 0.000 description 3
- 238000011109 contamination Methods 0.000 description 2
- 238000009795 derivation Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000012535 impurity Substances 0.000 description 2
- ZOXJGFHDIHLPTG-UHFFFAOYSA-N Boron Chemical compound [B] ZOXJGFHDIHLPTG-UHFFFAOYSA-N 0.000 description 1
- 229910052796 boron Inorganic materials 0.000 description 1
- 238000005247 gettering Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
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Abstract
An embodiment includes obtaining a flatness defect rate graph of epitaxial wafers produced by the epitaxial reactors possessed, obtaining a correlation graph of the Delta ZDD of the epitaxial wafers for correlation with the growth conditions of the epitaxial layer, Obtaining a Delta ZDD of at least one sample epitaxial wafer produced in a first growth condition by a first epitaxial reactor of the retained epitaxial reactors, and based on the correlation graph, .
Description
Embodiments relate to a flatness control method of an epitaxial wafer.
Silicon epitaxial wafers grown with a silicon epitaxial layer having a high resistivity doped with impurities such as boron and doped with a relatively small amount of impurities on a silicon wafer having a low resistivity exhibit high gettering capability and low latch up characteristics It is also resistant to slip defects at high temperatures.
The quality items required for such epitaxial wafers include flatness and degree of particle contamination. Items related to the epitaxial layer itself include thickness uniformity, resistivity, metal contamination, stacking faults, slip dislocation, .
The thickness of the wafer can be measured and the flatness of the edge of the wafer can be measured using the measured thickness of the wafer.
The embodiment provides a flatness control method of an epitaxial wafer capable of performing a process control so that a defective rate is reduced, regardless of the shape or flatness level of the base substrate.
A method for controlling the flatness of an epitaxial wafer according to an embodiment includes obtaining a flatness defect rate graph of epitaxial wafers produced by the epitaxial reactors possessed by the epitaxial wafer; Obtaining a correlation graph of Delta Z-axis Double Derivative (Delta ZDD) of the epitaxial wafer for correlating with growth conditions of the epitaxial layer; Obtaining a Delta ZDD of at least one sample epitaxial wafer produced in a first growth condition by a first epitaxial reactor of the retained epitaxial reactors; And adjusting the first growth condition based on the correlation graph.
The flatness control method of the epitaxial wafer may further include calculating a correction value based on the Delta ZDD and the flatness defect percentage graph of the at least one sample epitaxial wafer, Based on the graph, the first growth condition can be adjusted.
The step of acquiring the flatness defect ratio graph may include obtaining an edge sector site frontside reference (Q) Derivation (ESFQD) of the substrate substrates, and a Z-axis double derivative (ZDD). Obtaining a Delta ZDD and an ESFQR (Edge sector Site Frontside reference Q) of epitaxial wafers based on the base substrates; Determining a failure to flatness of the epitaxial wafers based on the ESFQR of the epitaxial wafers; And obtaining a flatness deficit rate graph of the epitaxial wafer based on the ESFQD of the base substrates and the Delta ZDD of the epitaxial wafers.
Wherein obtaining the Delta ZDD and ESFQR of the epitaxial wafers comprises obtaining ZDD and ESFQR of the epitaxial wafers; And obtaining a Delta ZDD for each of the epitaxial wafers using the difference between the ZDD of the base substrates and the ZDD of the epitaxial wafers.
Calculating the correction value includes: setting a target section based on a defect rate of the flatness defect rate graph; And calculating the correction value based on the Delta ZDD of the at least one sample epitaxial wafer and the section for the target.
The step of determining a defect in the flatness of the epitaxial wafers may determine a defect in the flatness of the epitaxial wafers based on a result of comparing the ESFQR of the epitaxial wafers with a predetermined reference value. The predetermined reference value may be 100 nm to 120 nm.
Wherein the X axis of the flatness defect rate graph of the epitaxial wafer represents the ESFQD of the base substrates and the Y axis represents the Delta ZDD of the epitaxial wafers and based on the ESFQD of the base substrates and the Delta ZDD of the epitaxial wafers, The defect rate of epitaxial wafers can be divided into a plurality of regions.
Wherein obtaining the correlation graph comprises obtaining a Delta ZDD of correlated epitaxial wafers produced in different growth conditions and using the Delta ZDD of the obtained correlation epitaxial wafers with the growth conditions The correlation graph can be obtained.
The growth condition and the first growth condition in the step of acquiring the correlation graph may be a flow rate of H 2 gas, a flow rate of TCS, or a growth temperature.
The step of setting the target section may be a section in which the flatness defect rate is smaller than a predetermined reference value with respect to the entire range of the ESFQD of the base substrates. The predetermined reference value may be 0.1% to 15%.
The correction value may be a difference between a predetermined target value belonging to the target section and a Delta ZDD of the at least one sample epitaxial wafer.
The predetermined target value may be a lower limit value, an upper limit value, or an intermediate value of the target interval.
The adjusting the first growth condition may adjust the first growth condition to a second growth condition corresponding to a value obtained by adding the correction value to the Delta ZDD in the first growth condition of the first epitaxial reactor.
A method of adjusting the flatness of an epitaxial wafer according to another embodiment includes obtaining an ESFQD and a first ZDD of first base substrates; Obtaining an ESFQR and a second ZDD of first epitaxial wafers based on the first substrate substrates; Obtaining a first Delta ZDD of the first epitaxial wafers; Determining a flatness defect of the first epitaxial wafers based on an ESFQR of the first epitaxial wafers and obtaining a flatness defect ratio graph; Obtaining a correlation graph of the epitaxial layer growth condition of the second epitaxial wafer and the Delta ZDD of the second epitaxial wafer; Obtaining a second Delta ZDD of at least one third epitaxial wafer produced in a first growth condition; Calculating a correction value based on the second delta ZDD and the flatness defect rate graph; And adjusting the first growth condition to a second growth condition based on the correction value and the correlation graph.
The method for controlling the flatness of the epitaxial wafer may further include producing the epitaxial wafer in the second growth condition.
Wherein obtaining the correlation graph comprises growing an epitaxial layer on second base substrates at different growth conditions of the same growth condition item to produce the second epitaxial wafers; Obtaining a Delta ZDD of the produced second epitaxial wafers; And obtaining the correlation graph using the different growth conditions and the Delta ZDD of the second epitaxial wafers.
The obtaining of the second delta ZDD may include growing an epitaxial layer on a plurality of third base substrates in the first growth condition to produce a plurality of third epitaxial wafers; And obtaining the Delta ZDD of the plurality of third epitaxial wafers and setting the average of the obtained Delta ZDDs of the plurality of third epitaxial wafers to the second Delta ZDD.
Calculating the correction value includes: setting a target section in which the flatness defect rate is smaller than a preset reference value in the flatness defect rate graph; And calculating the correction value such that the second delta ZDD belongs to the target section.
The adjusting the first growth condition to the second growth condition may change the first growth condition by a growth condition corresponding to the correction value.
In the embodiment, the process control can be performed so that the defective rate is reduced, irrespective of the shape or flatness level of the base substrate.
1 is a flow chart of a method for controlling the flatness of an epitaxial wafer according to an embodiment.
Fig. 2 is a flowchart showing the step of obtaining the defect rate graph shown in Fig.
3 is a flow chart showing one embodiment of the delta ZDD1 acquisition and ESFQR1 acquisition steps shown in FIG.
FIG. 4 shows the defect rate graph obtained in step S240.
5A shows the correlation between the flow rate of the H 2 gas supplied for the epitaxial layer growth and the Delta ZDD.
Figure 5b shows the correlation between Delta ZDD and epitaxial layer growth temperature.
Figure 5c shows the correlation between Delta ZDD and the flow rate of TCS supplied for epitaxial layer growth.
Fig. 6 shows an embodiment of the correction value calculating step of Fig.
7A is a schematic diagram for explaining ESFQD and ESFQR.
Fig. 7B shows a cross-sectional view along the ab direction in the schematic view of Fig. 7A.
BRIEF DESCRIPTION OF THE DRAWINGS The above and other features and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which: FIG. In the description of the embodiments, it is to be understood that each layer (film), region, pattern or structure may be referred to as being "on" or "under" a substrate, each layer It is to be understood that the terms " on "and " under" include both " directly "or" indirectly " do. In addition, the criteria for the top / bottom or bottom / bottom of each layer are described with reference to the drawings. The same reference numerals denote the same elements throughout the description of the drawings.
1 is a flow chart of a method for controlling the flatness of an epitaxial wafer according to an embodiment.
Referring to FIG. 1, a method for controlling flatness of an epitaxial wafer according to an embodiment includes obtaining a flatness defect ratio graph S110, obtaining a correlation graph of a growth condition and a Delta ZDD S120, A step S140 of calculating a correction value based on the graph of the flatness defect rate, a step S150 of adjusting the growth condition based on the correction value and the correlation graph, (S160). ≪ / RTI >
A flatness defect rate graph can be obtained based on ESFQD (Edge Substitute Site Frontside reference Q) and Delta ZDD of test epitaxial wafers (S110).
FIG. 2 is a flowchart showing one embodiment of step S110 of obtaining the defect rate graph shown in FIG.
Referring to FIG. 2, step S110 of obtaining a defect rate graph includes obtaining S210 of ESFQD and ZDD (hereinafter referred to as ZDD1) of test base substrates, obtaining S220 of Delta ZDD1, A step S230 of determining the flatness defect of the epitaxial wafers for test, and a step S240 of obtaining a defect rate graph.
First, ESFQD and ZDD1 are acquired (S210).
ESFQD is an abbreviation for Site least square plane (Q) Derivation. It can have a positive value or a negative value.
FIG. 7A is a schematic diagram for explaining ESFQD and ESFQR, and FIG. 7B is a cross-sectional view in ab direction of the schematic diagram of FIG. 7A.
7A and 7B, one side (e.g., the front side) of the wafer W1 is divided into a plurality of regions 401 (e.g., S1) of a site (e.g., S1) radially halved at a certain angle The maximum value MAX and the minimum value MIN in the
The
ESFQD may have a positive value (+ ESFQD) if one side of the wafer W1 exists on the reference plane (for example, Z = 0) and a negative value (-ESFQD) if it exists below.
ESFQD may be a value obtained by integrating the average value of the wafer thickness of the
ESFQR, which is an abbreviation of "Site least square plane (Q) Range", is one method for indicating the flatness of a wafer.
ESFQR is defined as a difference (MAX-MIN) between a maximum value (MAX) and a minimum value (MIN) of the thickness of the wafer W1 measured in the
ZDD is an abbreviation of Z-axis Double Derivative, which is a parameter indicating the degree of roll-off of the edge surface of the wafer, and represents the curvature of the edge surface of the wafer.
Assuming that the radial direction of the wafer is the xy plane of the xyz coordinate system, the z axis direction may be the thickness direction of the wafer. The profile of the thickness of the front and back surfaces of the wafer can be expressed as a "function of Z" when the Z-axis coordinate is zero at the midpoint of the two reference planes with respect to the front side and back side of the wafer.
The average Z value of 0 ° to 360 ° relative to the radius R of the front and back sides of the wafer can be obtained to obtain the overall Average Radial Profile of the wafer with respect to Z and the obtained average radial profile ZDD can be obtained by differentiating it twice.
That is, ZDD can be defined as Equation (1).
ESFQD and ZDD1 of the test base substrates can be obtained or calculated as described above. Or ESFQD and ZDD1 of the test substrate substrates may be values already known at the time of purchase.
Next, a delta ZDD (hereinafter referred to as "delta ZDD1") and an ESFQR (hereinafter referred to as "ESFQR1") of test epitaxial wafers based on the test base substrates are obtained (S220).
FIG. 3 is a flow chart showing one embodiment of the Delta ZDD1 and ESFQR1 acquisition step (S220) shown in FIG. 2. FIG.
Referring to FIG. 3, an epitaxial layer is grown on test base substrates to produce test epitaxial wafers (S310).
M epitaxial wafers can be grown by growing epitaxial layers on M (n is a natural number) test substrate substrates using N epitaxial reactors having N (natural number> 1) have.
Each of the N epitaxial reactors can grow an epitaxial layer on randomly selected base substrates from among M (a natural number M > 1) test base substrates.
Dividing the test substrate substrates into a plurality of groups in accordance with the number of N epitaxial reactors and each of the N epitaxial reactors is configured to grow an epitaxial layer on base substrates belonging to a corresponding one of the plurality of groups .
For example, assuming that the number of epitaxial reactors is ten and the number of test base substrates is 30,000, each of the epitaxial reactors grows an epitaxial layer on three randomly selected base substrates, Of epitaxial wafers for testing.
Next, ZDD (hereinafter referred to as "ZDD2") and ESFQR1 of each of the produced epitaxial wafers for test are obtained (S320).
The method of acquiring ESFQR1 may be applied to the method described in FIGS. 7A and 7B, and the method of acquiring ZDD2 may be applied to the method described in ZDD1.
For example, 30,000 ZDD2 and 30,000 ESFQR1 for the aforementioned 30,000 test epitaxial wafers can be obtained.
Next, Delta ZDD (hereinafter referred to as " Delta ZDD1 ") is acquired for each of the epitaxial wafers for test (S330). The Delta ZDD can be defined as the difference between the ZDD of the epitaxial wafer and the ZDD of the substrate substrate itself of the epitaxial wafer.
Delta ZDD1 can be defined as Equation (2).
After the delta ZDD1 and ESFQR1 acquisition step S220 are completed, a defect of flatness of the test epitaxial wafers is determined based on the ESFQR1 of the test epitaxial wafers (S230).
For example, it is possible to judge the defectiveness of the test epitaxial wafers to the flatness according to the result of comparing ESFQR1 of the test epitaxial wafers with predetermined reference values.
In this case, the preset reference value may be 100 nm to 120 nm. For example, the predetermined reference value may be 110 nm.
For example, if the ESFQR1 of the test epitaxial wafers exceeds the preset reference value, it can be judged as defective. If the ESFQR1 of the test epitaxial wafers is equal to or less than the preset reference value, it can be judged not to be defective.
Next, based on ESFQD and Delta ZDD1, a flatness defect rate graph of the epitaxial wafer for test is obtained (S240).
FIG. 4 shows the defect rate graph obtained in step S240.
Referring to FIG. 4, the X axis represents the ESFQD of the test base substrates, and may be divided into predetermined intervals (for example, 25 nm) centered on 0, and the unit may be nm.
The Y axis represents Delta ZDD1 of the epitaxial wafers for testing, and can be divided into predetermined intervals (for example, 5 or 10) centered at 0.
Based on the ESFQD and the Delta ZDD1, the defect rate of the test epitaxial wafers can be divided into a plurality of regions, for example, the first to
The defective rate of each of the first to
For example, when the defect rate in the
Next, after obtaining the flatness defect rate graph (S110), a correlation or correlation graph between the growth condition of the epitaxial layer and the Delta ZDD of the correlation epitaxial wafer is obtained (S120). In another embodiment, the order of steps S110 and S120 may be reversed. In another embodiment, steps S110 and S120 may be performed simultaneously.
For example, an epitaxial layer is grown on the correlated base substrates with different growth conditions for the same growth condition item to produce correlated epitaxial wafers. For example, the growth condition item may include the flow rate of the TCS, the H 2 gas, and the growth temperature.
And the Delta ZDD of the correlated epitaxial wafers produced by the different growth conditions of the same growth condition item. And a correlation graph can be obtained using Delta ZDD of epitaxial wafers for correlation with different growth conditions. And then use the correlation graph to obtain an equation (e.g., a linear equation) about the correlation. For example, the correlated base substrates may be separate or different base substrates from the test base substrates.
Figure 5a shows a correlation and correlation graph between the Delta ZDD of the correlated epitaxial wafers and the flow rate of the H 2 gas supplied for epitaxial layer growth and Figure 5b shows the correlation and correlation graph of correlation epitaxial wafers Figure 5c shows the correlation and correlation graph between the Delta ZDD and the epitaxial layer growth temperature and Figure 5c shows the correlation and correlation graph between the Delta ZDD of the epitaxial wafers for correlation and the TCS supplied for epitaxial layer growth .
5A to 5C show experimental results of obtaining Delta ZDD of correlation epitaxial wafers while changing growth conditions (TCS flow rate, H 2 gas, growth temperature).
Figures 5A-5C show the Delta ZDD of correlated epitaxial wafers produced in a plurality of different (e.g., five) growth conditions.
For example, the Delta ZDD of correlation epitaxial wafers may be the average value of Delta ZDD of a predetermined number (e. G., 10) epitaxial wafers for correlation in each of a plurality of different growth conditions.
The linear equations (y1, y2, y3) that approximate the correlation between the growth condition and the delta ZDD using the correlation graph obtained based on the Delta ZDD of the correlated epitaxial wafers produced in the different growth conditions ) Can be obtained. 5A-5C, R 2 shows an approximation between the experimental results and the linear equation.
The current Delta ZDD (hereinafter referred to as " Delta ZDD2 ") for the epitaxial reactor to be used is obtained (S130) after the flatness defect rate step S110 and the correlation graph acquisition step S120. The method of obtaining Delta ZDD2 can be equally applied to the description of Delta ZDD1.
For example, at least one sample epitaxial wafer may be grown by growing an epitaxial layer on at least one sample substrate in a first growth condition using an epitaxial reactor that is currently desired among the N epitaxial reactors that it holds , And the Delta ZDD of at least one sample epitaxial wafer produced can be made to be Delta ZDD2.
For example, an epitaxial layer is grown on a plurality of (e.g., five) sample base substrates in a first growth condition using a first epitaxial reactor that is desired to be used at present to produce a plurality of sample epitaxial wafers, Delta ZDD of the sample epitaxial wafers can be obtained and the average of the Delta ZDDs of the obtained plurality of sample epitaxial wafers can be made Delta ZDD2.
Here, the first growth condition may coincide with the item of the growth condition in the correlation graph acquisition step. For example, the growth condition in the first growth condition and correlation graph acquisition step may include the flow rate of the TCS, the flow rate of the H 2 gas, or the growth temperature described in FIGS. 5A to 5C. In the embodiment, three first growth conditions are exemplified, but the present invention is not limited thereto. For example, other growth conditions having a linear correlation with the Delta ZDD of the epitaxial wafer may be included in the first growth condition of the first epitaxial reactor.
Next, a correction value for Delta ZDD2 is calculated based on the flatness defect ratio graph shown in Fig. 4 and the Delta ZDD2 (S140).
FIG. 6 shows an embodiment of the correction value calculation step (S140) of FIG.
Referring to FIG. 6, the correction value calculation step S140 may include a target interval setting step S410 and a correction value calculation step S420.
Based on the defect rate of the flatness defect rate graph shown in Fig. 4, the target section for Delta ZDD can be set (S410).
For example, the target section of the Delta ZDD may be a section in which the flatness defect rate is smaller than a preset reference value with respect to the entire range of the ESFQD (e.g., -75 to 25) of the test base substrates in the flatness defect rate graph. Here, the predetermined reference value may be 0.1% to 15%.
For example, in FIG. 4, if the predetermined reference value is set to 0.1% to 15% for the entire range of the ESFQD of the base substrates, the third, eighth, thirteenth, and eighteenth regions (3, 8, 13, 18), and the Delta ZDD of the target section of the Delta ZDD may be between 0 and -5 nm. In the region where the delta ZDD is 0 to -5 nm, the flatness defect rate is less than 4% with respect to the entire range of ESFQD of the base substrates.
In another embodiment, the target section of the Delta ZDD may be set in consideration of the ESFQD of the base substrates. For example, if the range of the ESFQD of base substrates input to the first epitaxial reactor is limited to 0 nm to -50 nm, the target section of the Delta ZDD can be set according to a preset reference value. For example, if the preset reference value is set to 0.5%, the region for the target of the Delta ZDD may include the
Next, a correction value is calculated based on the Delta ZDD2 of the current sample epitaxial wafer for the first epitaxial reactor to be used and the target section (S420). This is to correct the Delta ZDD2 using the correction value so that the current Delta ZDD2 belongs to the target section.
For example, the correction value may be a difference between the predetermined target value belonging to the target section and Delta ZDD2. Here, the predetermined target value belonging to the section for the target may be the lower limit value, the upper limit value, or the median value of the section for the target.
For example, when the target section is 0 to -5 nm, the Delta ZDD2 is 7, and the preset value is a median value (for example, -2.5) of the section for the target, the correction value is set at a predetermined target value (-9.5) minus Delta ZDD2 (e.g., 7).
Next, the growth condition of the first epitaxial reactor is controlled based on the correction value and the correlation graph (S150). The present first growth condition of the first epitaxial reactor can be changed by a growth condition corresponding to the correction value.
For example, the first growth condition may be adjusted to a second growth condition corresponding to a value obtained by adding the correction value to the Delta ZDD in the first growth condition of the first epitaxial reactor.
For example, assume that the correction value is -9.5 and the flow rate of the current H 2 gas in the first epitaxial reactor is 90 [slm]. Referring to the linear equation (y1 = 0.5111x - 36.817) in Figure 5a, the Delta ZDD at the current flow rate of H 2 gas (90 [slm]) is 9.182.
9.182 is -0.318 when the correction value (-9.5) is added, and x = 72.352 when y1 = -0.318 in the linear equation for the H 2 gas. Thus, the flow rate of the H 2 gas in the first epitaxial reactor can be adjusted from 90 [slm] to 72.352 [slm].
For example, assume that the correction value is -9.5 and the current temperature of the first epitaxial reactor is 1130 ° C. Referring to the linear equation (y2 = 0.6308x - 700.71) in Figure 5b, the Delta ZDD at the current temperature (1130 ° C) is 12.094 and the temperature of the first epitaxial reactor can be adjusted from 1130 ° C to about 1123 ° C have.
Finally, after the growth condition adjustment step (S150), an epitaxial wafer is produced under controlled growth conditions in the first epitaxial reactor (S160). When the epitaxial wafer is produced in the first epitaxial reactor under the controlled growth conditions, as shown in FIG. 4, there is a high probability that the defective rate falls within a range to be managed irrespective of which ESFQD value the base substrate has, It is possible to manage the process so that the defective rate is reduced.
That is, although the value of ZDD varies depending on the flatness level of the base substrate, the Delta ZDD may have a characteristic of being kept constant regardless of the flatness level of the base substrate. By setting the interval to be the smallest, the embodiment can perform the process control so that the defective rate becomes small irrespective of the shape of the base substrate or the flatness level.
The features, structures, effects and the like described in the embodiments are included in at least one embodiment of the present invention and are not necessarily limited to one embodiment. Further, the features, structures, effects, and the like illustrated in the embodiments can be combined and modified by other persons having ordinary skill in the art to which the embodiments belong. Therefore, it should be understood that the present invention is not limited to these combinations and modifications.
MAX: maximum value MIN: minimum value
401: The section of the site that is divided.
Claims (21)
Obtaining a correlation graph of Delta Z-axis Double Derivative (Delta ZDD) of the epitaxial wafer for correlating with growth conditions of the epitaxial layer;
Obtaining a Delta ZDD of at least one sample epitaxial wafer produced in a first growth condition by a first epitaxial reactor of the retained epitaxial reactors; And
And adjusting the first growth condition based on the correlation graph. ≪ Desc / Clms Page number 19 >
Further comprising calculating a correction value based on the graph of the flatness defect rate and the Delta ZDD of the at least one sample epitaxial wafer,
And adjusting the flatness of the epitaxial wafer to adjust the first growth condition based on the correction value and the correlation graph.
Acquiring ESFQD (Edge sector site frontside reference Q) of the base substrates, and Z-axis double derivative (ZDD);
Obtaining a Delta ZDD and an ESFQR (Edge sector Site Frontside reference Q) of epitaxial wafers based on the base substrates;
Determining a failure to flatness of the epitaxial wafers based on the ESFQR of the epitaxial wafers; And
And obtaining a flatness deficit rate graph of the epitaxial wafer based on the ESFQD of the base substrates and the Delta ZDD of the epitaxial wafers.
Obtaining ZDD and ESFQR of the epitaxial wafers; And
And obtaining a Delta ZDD for each of the epitaxial wafers using the difference between the ZDD of the base substrates and the ZDD of the epitaxial wafers.
Setting a section for a target based on a defective rate of the flatness defect rate graph; And
And calculating the correction value based on the Delta ZDD of the at least one sample epitaxial wafer and the section for the target.
And determining a defect to the flatness of the epitaxial wafers based on a result of comparing the ESFQR of the epitaxial wafers with a preset reference value.
Wherein the preset reference value is 100 nm to 120 nm.
Wherein the X axis of the flatness defect rate graph of the epitaxial wafer represents the ESFQD of the base substrates and the Y axis represents the Delta ZDD of the epitaxial wafers and based on the ESFQD of the base substrates and the Delta ZDD of the epitaxial wafers, Wherein the defect rate of the epitaxial wafers is divided into a plurality of regions.
Obtaining a Delta ZDD of correlated epitaxial wafers produced in different growth conditions, and obtaining an epitaxial wafer having the epitaxial wafer obtained by using the Delta ZDD of the obtained epitaxial wafers for correlation, A method for controlling the flatness of a wafer.
Wherein the growth condition and the first growth condition in the step of obtaining the correlation graph adjust the flatness of the epitaxial wafer, which is the H 2 gas flow rate, the TCS flow rate, or the growth temperature.
Wherein the flatness ratio of the ESFQD of the base substrates is less than a preset reference value.
Wherein the predetermined reference value is 0.1% to 15%.
Wherein the correction value is a difference between a predetermined target value belonging to the target section and a Delta ZDD of the at least one sample epitaxial wafer.
Wherein the predetermined target value is a lower limit, an upper limit, or a median of the flatness of the epitaxial wafer for the target section.
And adjusting the first growth condition to a second growth condition corresponding to a value obtained by adding the correction value to Delta ZDD in a first growth condition of the first epitaxial reactor.
Obtaining an ESFQR and a second ZDD of first epitaxial wafers based on the first substrate substrates;
Obtaining a first Delta ZDD of the first epitaxial wafers;
Determining a flatness defect of the first epitaxial wafers based on an ESFQR of the first epitaxial wafers and obtaining a flatness defect ratio graph;
Obtaining a correlation graph of the epitaxial layer growth condition of the second epitaxial wafer and the Delta ZDD of the second epitaxial wafer;
Obtaining a second Delta ZDD of at least one third epitaxial wafer produced in a first growth condition;
Calculating a correction value based on the second delta ZDD and the flatness defect rate graph; And
And adjusting the first growth condition to a second growth condition based on the correction value and the correlation graph.
Further comprising the step of producing an epitaxial wafer in said second growth condition.
Growing an epitaxial layer on second base substrates in different growth conditions of the same growth condition item to produce the second epitaxial wafers;
Obtaining a Delta ZDD of the produced second epitaxial wafers;
And obtaining the correlation graph using the different growth conditions and the Delta ZDD of the second epitaxial wafers.
Growing an epitaxial layer on a plurality of third base substrates in the first growth condition to produce a plurality of third epitaxial wafers; And
Obtaining a Delta ZDD of the plurality of third epitaxial wafers and setting the average of the obtained Delta ZDDs of the plurality of third epitaxial wafers to the second Delta ZDD, How to control.
Setting a target section in which the flatness defect rate is smaller than a predetermined reference value in the flatness defect rate graph; And
And calculating the correction value such that the second delta ZDD belongs to the section for the target.
Wherein the first growth condition is changed by a growth condition corresponding to the correction value.
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WO2020180010A1 (en) * | 2019-03-06 | 2020-09-10 | 에스케이실트론 주식회사 | Wafer evaluation method |
CN116057202A (en) * | 2020-08-17 | 2023-05-02 | 硅电子股份公司 | Method for depositing epitaxial layers on substrate wafers |
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CN113644017B (en) * | 2020-04-27 | 2024-07-09 | 上海新昇半导体科技有限公司 | Method for positioning wafer and semiconductor manufacturing equipment |
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